Senior AI Engineer: Self-Supervised Robotics Data

A leading robotics company based in Switzerland is seeking a data engineer to develop self-supervised learning systems for transforming raw sensor data into structured datasets for machine learning. The role requires a Master’s degree and expertise in data pipelines and multi-modal sensor data, alongside proficiency in Python and deep learning frameworks like PyTorch. Collaborate with cross-functional teams to enhance data strategies and address the 'data bottleneck' in robotics, contributing significantly to innovation in the field.
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